{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "from keras.models import Sequential\n",
    "from keras.layers import Dense, Activation, Embedding, Flatten, LeakyReLU, Merge, BatchNormalization, Dropout\n",
    "from keras.activations import relu, sigmoid\n",
    "from keras.layers import LeakyReLU\n",
    "\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "\n",
    "from sklearn.ensemble import BaggingRegressor\n",
    "\n",
    "from sklearn.model_selection import cross_val_score\n",
    "\n",
    "from sklearn.linear_model import LinearRegression\n",
    "from sklearn.ensemble import RandomForestRegressor\n",
    "from sklearn.svm import SVR\n",
    "\n",
    "from sklearn.model_selection import GridSearchCV\n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/root/miniconda3/lib/python3.6/site-packages/pandas/core/ops.py:533: PerformanceWarning: Adding/subtracting array of DateOffsets to Series not vectorized\n",
      "  \"Series not vectorized\", PerformanceWarning)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>season</th>\n",
       "      <th>mnth</th>\n",
       "      <th>hr</th>\n",
       "      <th>holiday</th>\n",
       "      <th>weekday</th>\n",
       "      <th>workingday</th>\n",
       "      <th>weathersit</th>\n",
       "      <th>temp</th>\n",
       "      <th>hum</th>\n",
       "      <th>windspeed</th>\n",
       "      <th>cnt</th>\n",
       "      <th>time</th>\n",
       "      <th>t</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.24</td>\n",
       "      <td>0.81</td>\n",
       "      <td>0.0</td>\n",
       "      <td>16</td>\n",
       "      <td>2011-01-01 00:00:00</td>\n",
       "      <td>1.293840e+18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.22</td>\n",
       "      <td>0.80</td>\n",
       "      <td>0.0</td>\n",
       "      <td>40</td>\n",
       "      <td>2011-01-01 01:00:00</td>\n",
       "      <td>1.293844e+18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.22</td>\n",
       "      <td>0.80</td>\n",
       "      <td>0.0</td>\n",
       "      <td>32</td>\n",
       "      <td>2011-01-01 02:00:00</td>\n",
       "      <td>1.293847e+18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.24</td>\n",
       "      <td>0.75</td>\n",
       "      <td>0.0</td>\n",
       "      <td>13</td>\n",
       "      <td>2011-01-01 03:00:00</td>\n",
       "      <td>1.293851e+18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.24</td>\n",
       "      <td>0.75</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>2011-01-01 04:00:00</td>\n",
       "      <td>1.293854e+18</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   season  mnth  hr  holiday  weekday  workingday  weathersit  temp   hum  \\\n",
       "0       1     1   0        0        6           0           1  0.24  0.81   \n",
       "1       1     1   1        0        6           0           1  0.22  0.80   \n",
       "2       1     1   2        0        6           0           1  0.22  0.80   \n",
       "3       1     1   3        0        6           0           1  0.24  0.75   \n",
       "4       1     1   4        0        6           0           1  0.24  0.75   \n",
       "\n",
       "   windspeed  cnt                time             t  \n",
       "0        0.0   16 2011-01-01 00:00:00  1.293840e+18  \n",
       "1        0.0   40 2011-01-01 01:00:00  1.293844e+18  \n",
       "2        0.0   32 2011-01-01 02:00:00  1.293847e+18  \n",
       "3        0.0   13 2011-01-01 03:00:00  1.293851e+18  \n",
       "4        0.0    1 2011-01-01 04:00:00  1.293854e+18  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rides = pd.read_csv('data/hour.csv')\n",
    "rides['time'] = pd.to_datetime(rides['dteday'])+pd.Series([pd.DateOffset(hours = a ) for a in rides.hr.tolist()])\n",
    "rides.drop(['instant','yr','dteday','casual','registered', 'atemp'],1,inplace=True)\n",
    "rides['t'] = rides.time.values.astype(float)\n",
    "rides.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Get **one hot encoded** values of the categorical variables. Note the `drop_first=True` component."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>temp</th>\n",
       "      <th>hum</th>\n",
       "      <th>windspeed</th>\n",
       "      <th>cnt</th>\n",
       "      <th>time</th>\n",
       "      <th>t</th>\n",
       "      <th>season_2</th>\n",
       "      <th>season_3</th>\n",
       "      <th>season_4</th>\n",
       "      <th>hr_1</th>\n",
       "      <th>...</th>\n",
       "      <th>weekday_1</th>\n",
       "      <th>weekday_2</th>\n",
       "      <th>weekday_3</th>\n",
       "      <th>weekday_4</th>\n",
       "      <th>weekday_5</th>\n",
       "      <th>weekday_6</th>\n",
       "      <th>workingday_1</th>\n",
       "      <th>weathersit_2</th>\n",
       "      <th>weathersit_3</th>\n",
       "      <th>weathersit_4</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.24</td>\n",
       "      <td>0.81</td>\n",
       "      <td>0.0</td>\n",
       "      <td>16</td>\n",
       "      <td>2011-01-01 00:00:00</td>\n",
       "      <td>1.293840e+18</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.22</td>\n",
       "      <td>0.80</td>\n",
       "      <td>0.0</td>\n",
       "      <td>40</td>\n",
       "      <td>2011-01-01 01:00:00</td>\n",
       "      <td>1.293844e+18</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.22</td>\n",
       "      <td>0.80</td>\n",
       "      <td>0.0</td>\n",
       "      <td>32</td>\n",
       "      <td>2011-01-01 02:00:00</td>\n",
       "      <td>1.293847e+18</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.24</td>\n",
       "      <td>0.75</td>\n",
       "      <td>0.0</td>\n",
       "      <td>13</td>\n",
       "      <td>2011-01-01 03:00:00</td>\n",
       "      <td>1.293851e+18</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
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       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.24</td>\n",
       "      <td>0.75</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>2011-01-01 04:00:00</td>\n",
       "      <td>1.293854e+18</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 54 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   temp   hum  windspeed  cnt                time             t  season_2  \\\n",
       "0  0.24  0.81        0.0   16 2011-01-01 00:00:00  1.293840e+18         0   \n",
       "1  0.22  0.80        0.0   40 2011-01-01 01:00:00  1.293844e+18         0   \n",
       "2  0.22  0.80        0.0   32 2011-01-01 02:00:00  1.293847e+18         0   \n",
       "3  0.24  0.75        0.0   13 2011-01-01 03:00:00  1.293851e+18         0   \n",
       "4  0.24  0.75        0.0    1 2011-01-01 04:00:00  1.293854e+18         0   \n",
       "\n",
       "   season_3  season_4  hr_1      ...       weekday_1  weekday_2  weekday_3  \\\n",
       "0         0         0     0      ...               0          0          0   \n",
       "1         0         0     1      ...               0          0          0   \n",
       "2         0         0     0      ...               0          0          0   \n",
       "3         0         0     0      ...               0          0          0   \n",
       "4         0         0     0      ...               0          0          0   \n",
       "\n",
       "   weekday_4  weekday_5  weekday_6  workingday_1  weathersit_2  weathersit_3  \\\n",
       "0          0          0          1             0             0             0   \n",
       "1          0          0          1             0             0             0   \n",
       "2          0          0          1             0             0             0   \n",
       "3          0          0          1             0             0             0   \n",
       "4          0          0          1             0             0             0   \n",
       "\n",
       "   weathersit_4  \n",
       "0             0  \n",
       "1             0  \n",
       "2             0  \n",
       "3             0  \n",
       "4             0  \n",
       "\n",
       "[5 rows x 54 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cat_features = ['season', 'hr', 'mnth', 'holiday', 'weekday', 'workingday', 'weathersit']\n",
    "rides = pd.get_dummies(rides, columns=cat_features, drop_first=True) \n",
    "rides.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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l0jxj7mNbABznnnPCfUyhT/B8UQRtfxnSBHupSVXsg6JlmdlHr8s+j7qmoWhoaKSRXlLq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\n3Nk7juMUAHf2juM4BcCdveM4TgH4Bd5Vxo+3KH2FAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fe0206bf2b0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(rides.time[:240],rides.cnt[:240])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/root/miniconda3/lib/python3.6/site-packages/sklearn/utils/validation.py:429: DataConversionWarning: Data with input dtype int64 was converted to float64 by StandardScaler.\n",
      "  warnings.warn(msg, _DataConversionWarning)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>temp</th>\n",
       "      <th>hum</th>\n",
       "      <th>windspeed</th>\n",
       "      <th>cnt</th>\n",
       "      <th>time</th>\n",
       "      <th>t</th>\n",
       "      <th>season_2</th>\n",
       "      <th>season_3</th>\n",
       "      <th>season_4</th>\n",
       "      <th>hr_1</th>\n",
       "      <th>...</th>\n",
       "      <th>weekday_1</th>\n",
       "      <th>weekday_2</th>\n",
       "      <th>weekday_3</th>\n",
       "      <th>weekday_4</th>\n",
       "      <th>weekday_5</th>\n",
       "      <th>weekday_6</th>\n",
       "      <th>workingday_1</th>\n",
       "      <th>weathersit_2</th>\n",
       "      <th>weathersit_3</th>\n",
       "      <th>weathersit_4</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>-1.334648</td>\n",
       "      <td>0.947372</td>\n",
       "      <td>-1.553889</td>\n",
       "      <td>-0.956339</td>\n",
       "      <td>2011-01-01 00:00:00</td>\n",
       "      <td>-1.745435</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-1.438516</td>\n",
       "      <td>0.895539</td>\n",
       "      <td>-1.553889</td>\n",
       "      <td>-0.824022</td>\n",
       "      <td>2011-01-01 01:00:00</td>\n",
       "      <td>-1.745236</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>-1.438516</td>\n",
       "      <td>0.895539</td>\n",
       "      <td>-1.553889</td>\n",
       "      <td>-0.868128</td>\n",
       "      <td>2011-01-01 02:00:00</td>\n",
       "      <td>-1.745038</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>-1.334648</td>\n",
       "      <td>0.636370</td>\n",
       "      <td>-1.553889</td>\n",
       "      <td>-0.972879</td>\n",
       "      <td>2011-01-01 03:00:00</td>\n",
       "      <td>-1.744840</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>-1.334648</td>\n",
       "      <td>0.636370</td>\n",
       "      <td>-1.553889</td>\n",
       "      <td>-1.039037</td>\n",
       "      <td>2011-01-01 04:00:00</td>\n",
       "      <td>-1.744641</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 54 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       temp       hum  windspeed       cnt                time         t  \\\n",
       "0 -1.334648  0.947372  -1.553889 -0.956339 2011-01-01 00:00:00 -1.745435   \n",
       "1 -1.438516  0.895539  -1.553889 -0.824022 2011-01-01 01:00:00 -1.745236   \n",
       "2 -1.438516  0.895539  -1.553889 -0.868128 2011-01-01 02:00:00 -1.745038   \n",
       "3 -1.334648  0.636370  -1.553889 -0.972879 2011-01-01 03:00:00 -1.744840   \n",
       "4 -1.334648  0.636370  -1.553889 -1.039037 2011-01-01 04:00:00 -1.744641   \n",
       "\n",
       "   season_2  season_3  season_4  hr_1      ...       weekday_1  weekday_2  \\\n",
       "0         0         0         0     0      ...               0          0   \n",
       "1         0         0         0     1      ...               0          0   \n",
       "2         0         0         0     0      ...               0          0   \n",
       "3         0         0         0     0      ...               0          0   \n",
       "4         0         0         0     0      ...               0          0   \n",
       "\n",
       "   weekday_3  weekday_4  weekday_5  weekday_6  workingday_1  weathersit_2  \\\n",
       "0          0          0          0          1             0             0   \n",
       "1          0          0          0          1             0             0   \n",
       "2          0          0          0          1             0             0   \n",
       "3          0          0          0          1             0             0   \n",
       "4          0          0          0          1             0             0   \n",
       "\n",
       "   weathersit_3  weathersit_4  \n",
       "0             0             0  \n",
       "1             0             0  \n",
       "2             0             0  \n",
       "3             0             0  \n",
       "4             0             0  \n",
       "\n",
       "[5 rows x 54 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "quant_features = ['temp', 'hum', 'windspeed','t']\n",
    "x_scaler = StandardScaler()\n",
    "rides[quant_features] = x_scaler.fit_transform(rides[quant_features].values)\n",
    "\n",
    "y_scaler = StandardScaler()\n",
    "rides['cnt'] = y_scaler.fit_transform(rides['cnt'].values[:,None])\n",
    "\n",
    "rides.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Split into training and testing data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "train_data = rides[:-21*24]\n",
    "test_data = rides[-21*24:]\n",
    "\n",
    "train_x = train_data.drop(['cnt','time'],axis=1)\n",
    "test_x = test_data.drop(['cnt','time'],axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Object `SVR` not found.\n"
     ]
    }
   ],
   "source": [
    "SVR?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "linear : 0.342585931399 (0.148649396312)\n",
      "Random Forest : 0.161910278435 (0.0623367980617)\n",
      "svm : 0.222756802956 (0.130537808513)\n"
     ]
    }
   ],
   "source": [
    "from sklearn.model_selection import cross_val_score\n",
    "\n",
    "from sklearn.linear_model import LinearRegression\n",
    "from sklearn.ensemble import RandomForestRegressor\n",
    "from sklearn.svm import SVR\n",
    "\n",
    "# create the sub models\n",
    "estimators = []\n",
    "estimators.append(( 'linear' , LinearRegression()))\n",
    "# TODO: In the same way as above append Random Forst and Support vector machines to `estimators`\n",
    "# Optional: Change the default parameters in here\n",
    "\n",
    "for model_name, model in estimators:\n",
    "    # Do ten fold cross validation\n",
    "    res = cross_val_score(model, train_x, train_data['cnt'], cv=10, \n",
    "                          scoring='neg_mean_squared_error')\n",
    "    mean_mse = -res.mean()\n",
    "    stddev_mse = #TODO: get the standard deviation of the result (google numpy standard deviation)\n",
    "    print(model_name+' : '+str(mean_mse)+' ('+str(stddev_mse)+ ')')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/root/miniconda3/lib/python3.6/site-packages/sklearn/cross_validation.py:44: DeprecationWarning: This module was deprecated in version 0.18 in favor of the model_selection module into which all the refactored classes and functions are moved. Also note that the interface of the new CV iterators are different from that of this module. This module will be removed in 0.20.\n",
      "  \"This module will be removed in 0.20.\", DeprecationWarning)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "XGBoost : 0.230376611932 (0.124462645693)\n"
     ]
    }
   ],
   "source": [
    "from xgboost import XGBRegressor\n",
    "\n",
    "# TODO: Get cross validation score, same as above for XGBoost\n",
    "model = \n",
    "res = cross_val_score(model, train_x, train_data['cnt'], cv=10, \n",
    "                          scoring='neg_mean_squared_error')\n",
    "print('XGBoost : '+str(-res.mean())+' ('+str(res.std())+ ')')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Keep in mind that you still need to `fit` the model. `cross_val_score` only gets you the cross validation score, nothing more."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "XGBRegressor(base_score=0.5, colsample_bylevel=1, colsample_bytree=1, gamma=0,\n",
       "       learning_rate=0.1, max_delta_step=0, max_depth=3,\n",
       "       min_child_weight=1, missing=None, n_estimators=100, nthread=-1,\n",
       "       objective='reg:linear', reg_alpha=0, reg_lambda=1,\n",
       "       scale_pos_weight=1, seed=0, silent=True, subsample=1)"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model = XGBRegressor()\n",
    "model.fit(train_x, train_data['cnt'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.366700817704\n"
     ]
    }
   ],
   "source": [
    "pred_y = model. # Todo get the predictions for the test values\n",
    "error = test_data['cnt'] - pred_y\n",
    "print(np.mean(np.square(error)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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UybpaYd0kFtDNqq0Saw+qPsel9a3MFGHdRku1itrsdIuq9TaPmVsIUwALeCRq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\nVigUCoVCoVAoBvD/AdB26s+L94+mAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fdfe07adda0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,5))\n",
    "plt.plot(test_data['time'],y_scaler.inverse_transform(test_data['cnt']), label='true_data')\n",
    "plt.plot(test_data['time'],y_scaler.inverse_transform(pred_y), label='predicted')\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import xgboost as xgb\n",
    "\n",
    "xgbTrainData = xgb.DMatrix(train_x.values, train_data.cnt.values, feature_names=train_x.columns.values.tolist())\n",
    "xgbTestData = xgb.DMatrix(test_x.values, feature_names=train_x.columns.values.tolist())\n",
    "param = {'max_depth':2, 'objective':'reg:linear', 'eta':0.2}\n",
    "\n",
    "model = xgb.train(param, xgbTrainData, num_boost_round=30)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.498790857496\n"
     ]
    }
   ],
   "source": [
    "pred_y = model.predict(xgbTestData)\n",
    "error = test_data['cnt'] - pred_y\n",
    "print(np.mean(np.square(error)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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Wmoo/CQQCgdAUiCRbopPud512LmttyErXedP9T+E//MMu3PXY4Y0+LYIjulncofUxCQQC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ZWUJLyxTDJWDRuzuB4wZBokMK9pdjpwU9fHrE/GJA8WvADA92SJYgFP2yY/85ZDy0yjOq1EMREJ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\nGBPibxv+ZB0VKE/hAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fdfddea0908>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,5))\n",
    "plt.plot(test_data['time'],y_scaler.inverse_transform(test_data['cnt']), label='true_data')\n",
    "plt.plot(test_data['time'],y_scaler.inverse_transform(pred_y), label='predicted')\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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Y2YVm1p1Qy+4eQgWFy1O8/zfAk2a2IVMCs83KlStZsWLFpv2XX36Zzp0rrIDk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\ns+wNnGhm50iaCOwSnW8M/As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0FF1vsvOAjXSHPJ8D/sF/WrrMdCtwCrCzWvu8\nAmx4O3+JiPnk0oOIiBi8HMaMiIjBy2QXERGDl8kuIiIGL5NdREQMXia7iIgYvEx2ERExeJnsIiJi\n8P4NcHlYY2JWSo0AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fdfdf868dd8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "xgb.plot_importance(model)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/svg+xml": [
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       "<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n",
       " \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n",
       "<!-- Generated by graphviz version 2.38.0 (20140413.2041)\n",
       " -->\n",
       "<!-- Title: %3 Pages: 1 -->\n",
       "<svg width=\"579pt\" height=\"490pt\"\n",
       " viewBox=\"0.00 0.00 579.00 490.47\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n",
       "<g id=\"graph0\" class=\"graph\" transform=\"scale(1 1) rotate(0) translate(4 486.469)\">\n",
       "<title>%3</title>\n",
       "<polygon fill=\"white\" stroke=\"none\" points=\"-4,4 -4,-486.469 575,-486.469 575,4 -4,4\"/>\n",
       "<!-- 0 -->\n",
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      ],
      "text/plain": [
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      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "xgb.to_graphviz(model, num_trees=0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Best Hyper parameters"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Change the number of trees, depth of tree and learning rate to choose best xgboost model."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "model = XGBRegressor()\n",
    "\n",
    "trees = [10,20,30]\n",
    "depth = # TODO: set an array for a depth of 2,3 or 4\n",
    "eta = # TODO: set sensible number for a learning parameter\n",
    "\n",
    "param_grid = dict(max_depth=depth, n_estimators=trees, learning_rate = eta)\n",
    "grid = GridSearchCV(estimator=model, param_grid=param_grid, scoring='neg_mean_squared_error', cv=10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "grid_result = grid.fit(train_x, train_data['cnt'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[-0.36305377056241572,\n",
       " {'learning_rate': 0.1, 'max_depth': 4, 'n_estimators': 30}]"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "[grid_result.best_score_, grid_result.best_params_]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-1.180117 (0.255839) with: {'learning_rate': 0.01, 'max_depth': 2, 'n_estimators': 10}\n",
      "-1.113671 (0.267421) with: {'learning_rate': 0.01, 'max_depth': 2, 'n_estimators': 20}\n",
      "-1.056985 (0.279776) with: {'learning_rate': 0.01, 'max_depth': 2, 'n_estimators': 30}\n",
      "-1.162475 (0.252921) with: {'learning_rate': 0.01, 'max_depth': 3, 'n_estimators': 10}\n",
      "-1.079815 (0.259127) with: {'learning_rate': 0.01, 'max_depth': 3, 'n_estimators': 20}\n",
      "-1.005851 (0.266658) with: {'learning_rate': 0.01, 'max_depth': 3, 'n_estimators': 30}\n",
      "-1.140149 (0.242276) with: {'learning_rate': 0.01, 'max_depth': 4, 'n_estimators': 10}\n",
      "-1.046260 (0.242711) with: {'learning_rate': 0.01, 'max_depth': 4, 'n_estimators': 20}\n",
      "-0.962281 (0.244874) with: {'learning_rate': 0.01, 'max_depth': 4, 'n_estimators': 30}\n",
      "-0.793515 (0.326464) with: {'learning_rate': 0.1, 'max_depth': 2, 'n_estimators': 10}\n",
      "-0.641093 (0.324635) with: {'learning_rate': 0.1, 'max_depth': 2, 'n_estimators': 20}\n",
      "-0.554971 (0.303945) with: {'learning_rate': 0.1, 'max_depth': 2, 'n_estimators': 30}\n",
      "-0.697143 (0.281676) with: {'learning_rate': 0.1, 'max_depth': 3, 'n_estimators': 10}\n",
      "-0.528953 (0.265123) with: {'learning_rate': 0.1, 'max_depth': 3, 'n_estimators': 20}\n",
      "-0.436575 (0.235415) with: {'learning_rate': 0.1, 'max_depth': 3, 'n_estimators': 30}\n",
      "-0.625516 (0.245647) with: {'learning_rate': 0.1, 'max_depth': 4, 'n_estimators': 10}\n",
      "-0.447353 (0.215322) with: {'learning_rate': 0.1, 'max_depth': 4, 'n_estimators': 20}\n",
      "-0.363096 (0.188234) with: {'learning_rate': 0.1, 'max_depth': 4, 'n_estimators': 30}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/root/miniconda3/lib/python3.6/site-packages/sklearn/model_selection/_search.py:667: DeprecationWarning: The grid_scores_ attribute was deprecated in version 0.18 in favor of the more elaborate cv_results_ attribute. The grid_scores_ attribute will not be available from 0.20\n",
      "  DeprecationWarning)\n"
     ]
    }
   ],
   "source": [
    "for params, mean_score, scores in grid_result.grid_scores_:\n",
    "    print(\"%f (%f) with: %r\" % (scores.mean(), scores.std(), params))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.41480160995311177"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pred_y = grid.predict(test_x)\n",
    "error = test_data['cnt'] - pred_y\n",
    "np.mean(np.square(error))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
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gt9CK2Fzo1xq00eNL+ELnz/Fa//ZS9VoXqXXHUiNVku1ydedCP71NFKPVeVsl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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fdfe4f8aac8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,5))\n",
    "plt.plot(test_data['time'],y_scaler.inverse_transform(test_data['cnt']), label='true_data')\n",
    "plt.plot(test_data['time'],y_scaler.inverse_transform(pred_y), label='predicted')\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.1"
  },
  "latex_envs": {
   "bibliofile": "biblio.bib",
   "cite_by": "apalike",
   "current_citInitial": 1,
   "eqLabelWithNumbers": true,
   "eqNumInitial": 0
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
